SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 1088 papers

TitleStatusHype
On the Interpolation Effect of Score Smoothing—0
IGDA: Interactive Graph Discovery through Large Language Model Agents—0
Reasoning with Latent Thoughts: On the Power of Looped Transformers—0
RELICT: A Replica Detection Framework for Medical Image GenerationCode0
On the Dichotomy Between Privacy and Traceability in _p Stochastic Convex Optimization—0
Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs—0
Interrogating LLM design under a fair learning doctrine—0
Generative AI Training and Copyright Law—0
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model TrainingCode0
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models—0
LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning—0
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models—0
Quantifying Memorization and Retriever Performance in Retrieval-Augmented Vision-Language Models—0
None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks—0
R.R.: Unveiling LLM Training Privacy through Recollection and RankingCode0
Pruning as a Defense: Reducing Memorization in Large Language Models—0
Rethinking Benign Overfitting in Two-Layer Neural Networks—0
Continual Learning Should Move Beyond Incremental Classification—0
Logarithmic Width Suffices for Robust Memorization—0
Retrieval-augmented Encoders for Extreme Multi-label Text Classification—0
The Vendiscope: An Algorithmic Microscope For Data Collections—0
Diffusing DeBias: a Recipe for Turning a Bug into a Feature—0
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept UnderstandingCode0
Redistribute Ensemble Training for Mitigating Memorization in Diffusion ModelsCode0
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM-540B (few-shot, k=5)Accuracy95.4—Unverified
2Gopher-280B (few-shot, k=5)Accuracy80—Unverified
3PaLM-62B (few-shot, k=5)Accuracy77.7—Unverified